Recent Advances in Mathematical Modeling, Analysis and Optimization of Photovoltaic/Thermal System

A special issue of Mathematical and Computational Applications (ISSN 2297-8747). This special issue belongs to the section "Engineering".

Deadline for manuscript submissions: 1 June 2024 | Viewed by 2246

Special Issue Editor


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Guest Editor
Science Engineer Laboratory for Energy, National School of Applied Sciences, Chouaïb Doukkali University of El Jadida, El Jadida M-24000, Morocco
Interests: performance analysis; monitoring; lifetime analysis; fault detection; control management; power electronics; hybrid renewable energy; mathematical modelling; optimization and meta-heuristic algorithm; computational intelligence; photovoltaic and power energy; forecasting; fuel cell; radar; radio frequency; electromagnetic and electronic
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Special Issue Information

Dear Colleagues,

Solar energy applications focused on photovoltaic/thermal (PVT) systems continue becoming increasingly common as the utilization of renewable energy sources expands significantly. The PVT system is widely used in different applications to produce electrical or thermal energy in different regions and continental zones. The main difficulties in PVT systems are brought about by the complexity, nonlinearity, and instability in the mathematical and the electrical model through the current–voltage and power–voltage characteristics. According to several variables, including module temperature, solar radiation and its distribution, spectrum, cable losses, dust deposition, shading, and soiling, and the relationship across photovoltaic current and voltage, is implicit and nonlinear. As a result, it is crucial to develop a more precise mathematical model that can more accurately depict the interaction among current, voltage, and power and show the real performance.

The aims of this Special Issue are to publish original and review papers on the application of the mathematical model and analysis and optimization of photovoltaic/thermal systems using different methods. A wide range of potential research areas could be of interest, including but not restricted to simulation modeling, mathematical modeling, optimization techniques, metaheuristic algorithms, computation intelligence algorithms, etc.

Dr. Mohamed Louzazni
Guest Editor

Manuscript Submission Information

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Keywords

  • photovoltaic/thermal system
  • electrical parameters extraction
  • optimization
  • maintenance and reliability modelling
  • photovoltaic/thermal system monitoring

Published Papers (1 paper)

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Research

26 pages, 6386 KiB  
Article
Enhanced MPPT-Based Fractional-Order PID for PV Systems Using Aquila Optimizer
by Mohammed Tadj, Lakhdar Chaib, Abdelghani Choucha, Al-Motasem Aldaoudeyeh, Ahmed Fathy, Hegazy Rezk, Mohamed Louzazni and Attia El-Fergany
Math. Comput. Appl. 2023, 28(5), 99; https://doi.org/10.3390/mca28050099 - 03 Oct 2023
Viewed by 1612
Abstract
This paper proposes a controller to track the maximum power point (MPP) of a photovoltaic (PV) system using a fractional-order proportional integral derivative (FOPID) controller. The employed MPPT is operated based on a dp/dv feedback approach. The designed FOPID-MPPT method includes a differentiator [...] Read more.
This paper proposes a controller to track the maximum power point (MPP) of a photovoltaic (PV) system using a fractional-order proportional integral derivative (FOPID) controller. The employed MPPT is operated based on a dp/dv feedback approach. The designed FOPID-MPPT method includes a differentiator of order (μ) and integrator of order (λ), meaning it is an extension of the conventional PID controller. FOPID has more flexibility and achieves dynamical tuning, which leads to an efficient control system. The contribution of our paper lies is optimizing FOPID-MPPT parameters using Aquila optimizer (AO). The obtained results with the proposed AO-based FOPID-MPPT are contrasted with those acquired with moth flame optimizer (MFO). The performance of our FOPID-MPPT controller with the conventional technique perturb and observe (P&O) and the classical PID controller is analyzed. In addition, a robustness test is used to assess the performance of the FOPID-MPPT controller under load variations, providing valuable insights into its practical applicability and robustness. The simulation results clearly prove the superiority and high performance of the proposed control system to track the MPP of PV systems. Full article
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